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This volume collects research papers addressing topical issues in economics and management with a particular focus on dynamic models which allow to analyze and foster the decision making of firms in dynamic complex environments. The scope of the contributions ranges from daily operational challenges firms face to strategic choices in dynamic industry environments and the analysis of optimal growth paths. The volume also highlights recent methodological developments in the areas of dynamic optimization, dynamic games and meta-heuristics, which help to improve our understanding of (optimal) decision making in a fast evolving economy.
Increased competition in the global marketplace has created enormous pressure on system implementation, particularly in the field of marketing. Systems Thinking and Process Dynamics for Marketing Systems: Technologies and Applications for Decision Management describes a holistic approach to monitoring, evaluating, and applying appropriate marketing strategies, and understanding the competition and its future implication on the business of a company. As complexities multiply, the scientific concept of systems thinking and analyzing process dynamics explained in this publication allows marketing firms succeed. The critical issues facing firms today are presented in a thoroughly modern context, laying the foundation for a bright future.
The Impact of Automatic Control Research on Industrial Innovation Bring together the theory and practice of control research with this innovative overview Automatic control research focuses on subjects pertaining to the theory and practice of automation science and technology subjects such as industrial automation, robotics, and human???machine interaction. With each passing year, these subjects become more relevant to researchers, policymakers, industrialists, and workers alike. The work of academic control researchers, however, is often distant from the perspectives of industry practitioners, creating the potential for insights to be lost on both sides. The Impact of Automatic Control Research on Industrial Innovation seeks to close this distance, providing an industrial perspective on the future of control research. It seeks to outline the possible and ongoing impacts of automatic control technologies across a range of industries, enabling readers to understand the connection between theory and practice. The result is a book that combines scholarly and practical understandings of industrial innovations and their possible role in building a sustainable world. The Impact of Automatic Control Research on Industrial Innovation readers will also find: Insights on industrial and commercial applications of automatic control theory. Detailed discussion of industrial sectors including power, automotive, production processes, and more. An applied research roadmap for each sector. This book is a must-own for both control researchers and control engineers, in both theoretical and applied contexts, as well as for graduate or continuing education courses on control theory and practice.
"Scholars and practitioners who specialize in business, economics, international relations, religion, and sociology will find this book a necessary resource for broadening their understanding of the religious and cultural aspects of conducting business across cultures. The comprehensive and original coverage of the book will prove useful in understanding business, cultural, and philosophical issues related to the Islamic World."--BOOK JACKET.
This book targets the critical issue of decision making in uncertain conditions and situations. The aim is to increase readers’ understanding of complexity and of socio-economic interactions through the application of systems thinking perspectives. Among the various areas and topics addressed are complexity and sustainable management, markets as complex adaptive systems, the impacts of psychological and emotional factors upon value co-creation exchanges, and ICT enablers of service network performance and service exchange fulfillment. Thanks to the chosen perspectives, all of which are based on different systems research streams, the book will support more consistent and robust decisions, leading to sustainable, wise, and viable systems dynamics. It will aid managers, practitioners, and consultants in their decision-making processes and will also be of interest for academics and scholars in management, systems, computer science, engineering, and marketing.
This is a graduate–level monographic textbook in the field of Computational Intelligence. It presents a modern dynamical theory of the computational mind, combining cognitive psychology, artificial and computational intelligence, and chaos theory with quantum consciousness and computation. The book introduces to human and computational mind, comparing and contrasting main themes of cognitive psychology, artificial and computational intelligence.
Featuring state-of-the-art research from leading academics in technology and organization studies, this timely Research Handbook provides a comprehensive overview of how AI becomes embedded in decision making in organizations, from the initial considerations when implementing AI to the use of such solutions in strategic decision making.
This new 4th edition offers an introduction to optimal control theory and its diverse applications in management science and economics. It introduces students to the concept of the maximum principle in continuous (as well as discrete) time by combining dynamic programming and Kuhn-Tucker theory. While some mathematical background is needed, the emphasis of the book is not on mathematical rigor, but on modeling realistic situations encountered in business and economics. It applies optimal control theory to the functional areas of management including finance, production and marketing, as well as the economics of growth and of natural resources. In addition, it features material on stochastic Nash and Stackelberg differential games and an adverse selection model in the principal-agent framework. Exercises are included in each chapter, while the answers to selected exercises help deepen readers’ understanding of the material covered. Also included are appendices of supplementary material on the solution of differential equations, the calculus of variations and its ties to the maximum principle, and special topics including the Kalman filter, certainty equivalence, singular control, a global saddle point theorem, Sethi-Skiba points, and distributed parameter systems. Optimal control methods are used to determine optimal ways to control a dynamic system. The theoretical work in this field serves as the foundation for the book, in which the author applies it to business management problems developed from his own research and classroom instruction. The new edition has been refined and updated, making it a valuable resource for graduate courses on applied optimal control theory, but also for financial and industrial engineers, economists, and operational researchers interested in applying dynamic optimization in their fields.
"This book offers insight into current research practices and trends in Information Resource Management strategies that are implemented electronically"--Provided by publisher.
The Short Introduction to Strategic Management provides an authoritative yet accessible account of strategic management and its contemporary challenges. It explains the roots and key rationales of the strategy field, discussing common models, tools and practices, to provide a complete overview of conventional analytical techniques in strategic management. Andersen extends the discussion to consider dynamic strategy making and how it can enable organizations to respond effectively to turbulent and unpredictable global business environments. There is a specific focus on multinational corporate strategy issues relevant to organizations operating across multiple international markets. Written in a clear and direct style, it will appeal to students and practising managers and executives alike.